决策树算法在股票分析与预测中的应用

牛市的开始吸引了股民蜂拥而至,为了保护投资者权益,帮助投资者进行理性投资。文章提出了从技术的角度分析股票交易数据。采用二叉决策树的方法对庞大的交易数据进行挖掘,根据决策树获取的分类规则,基本上能预测单支股票在一段时间内走势,能有效的帮助投资者进行理性投资。

The Application of Decision Tree Algorithm in Stock Analysing and Predicting

The commence of bull market appeals to flood of stockers. To protect the profits of stockbrokers and help them invest rationally, this thesis mainly focus on analysing the data from the perspective of technology. It intends to undermine the huge dealing data by using bifurcate of decision trees.It may also predict the direction of a single stock within a limited time,which can help stockbrockers to invest rationally and effectively.